Lead Data Products Engineer

About the role

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise and enabled by advanced technology, the firm helps clients deliver with greater confidence and certainty. Operating across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, Baringa combines global insight with local understanding. Certified as a *Great Place to Work* around the world, the firm has been recognised by the *Financial Times* in 22 categories of its UK Leading Management Consultants rankings and by *Forbes* for four consecutive years as one of the World's Best Management Consulting Firms. Within this context, the Energy Products practice specialises in developing and innovating analytical models and the supporting technology ecosystem, underpinned by deep expertise in energy markets. The establishment of a dedicated Data Products Team calls for a Lead Data Products Engineer to define, design, and evolve the data products that underpin modelling processes, analytics outputs, and client-facing systems.

What you'll do

• Define and articulate the business outcomes and technical requirements for data products serving energy market models and client analytics.
• Capture and document data sources, data quality rules, and transformation logic to establish clear lineage for each data product.
• Collaborate with the Data Platform team to design storage, processing, and API layers that support timely and reliable data delivery.
• Lead the development of foundational data products, including datasets, views, and curated feeds used in modelling and reporting.
• Partner with data scientists and analysts to ensure data products meet analytical performance, accuracy, and usability standards.
• Implement monitoring and observability for data products to detect issues, track usage, and support rapid troubleshooting.
• Drive adoption of data products across the Energy Products practice through training, documentation, and stakeholder communication.
• Coordinate with cross-functional teams to prioritise data product initiatives against delivery timelines and business value.
• Apply agile delivery practices to iterate on data product features based on feedback from subject matter experts and clients.
• Contribute to governance frameworks that ensure data products comply with security, privacy, and regulatory requirements.
• Promote best practices in data architecture, versioning, and testing to improve reliability and maintainability of data products.
• Represent the Data Products team in discussions with technology leaders and practice directors to shape long-term strategy.
• Mentor junior engineers and influence data product standards across the Energy Products practice.
• Foster a culture of experimentation and continuous improvement within the data products team.
• Ensure data products remain aligned with evolving client needs and regulatory expectations.
• Contribute to the strategic roadmap for the internal Data and Processing Platform.

Requirements

• Demonstrated experience as a data engineer, data architect, or similar technical role focused on data platforms and products.
• Strong proficiency in SQL and at least one modern programming language used for data engineering, such as Python or Scala.
• Experience working with cloud data platforms and services relevant to data ingestion, storage, and transformation.
• Solid understanding of data modelling concepts, including dimensional modelling, data vault, or similar enterprise approaches.
• Proven ability to design and implement data pipelines that handle large volumes of data with appropriate performance and resilience.
• Experience with data quality frameworks, monitoring, and alerting for data-driven systems.
• Knowledge of energy markets, trading, or regulatory environments is highly relevant and will be considered a core part of the role.
• Commitment to maintaining high standards of documentation, version control, and reproducible data practices.

Nice to have

• Experience working with complex analytical models and the data requirements that support them.
• Familiarity with tools and platforms commonly used in consulting environments for data and analytics delivery.
• Background in financial services, utilities, or other regulated industries where data governance is critical.